Training in progress epoch 47

README.md

@@ -14,14 +14,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0161
-- Train Dice Coef: 0.8043
-- Train Iou: 0.6810
-- Validation Loss: 0.0228
-- Validation Dice Coef: 0.8558
-- Validation Iou: 0.7501
+- Train Loss: 0.0167
+- Train Dice Coef: 0.8035
+- Train Iou: 0.6807
+- Validation Loss: 0.0226
+- Validation Dice Coef: 0.8564
+- Validation Iou: 0.7510
 - Train Lr: 2.5e-07
-- Epoch: 46
+- Epoch: 47
 
 ## Model description
 
@@ -94,6 +94,7 @@ The following hyperparameters were used during training:
 | 0.0161     | 0.8022          | 0.6786    | 0.0233          | 0.8548               | 0.7487         | 2.5e-07  | 44    |
 | 0.0160     | 0.8041          | 0.6809    | 0.0226          | 0.8571               | 0.7522         | 2.5e-07  | 45    |
 | 0.0161     | 0.8043          | 0.6810    | 0.0228          | 0.8558               | 0.7501         | 2.5e-07  | 46    |
+| 0.0167     | 0.8035          | 0.6807    | 0.0226          | 0.8564               | 0.7510         | 2.5e-07  | 47    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bd97bc3378ae2a1362f179b0f7ed4906c4d2b4ab59c76a2f544607003c7ea6d4
+oid sha256:bc66670800f5e3b0d6eb9ce15ef24ae09b7ceea44c329cbc7faa09426b27c74a
 size 15133664